生成的文化遗产问答数据集:多维视角中的杜尔加
Tri Lathif Mardi Suryanto1,2, Aji Prasetya Wibawa1, Hariyono3
1Department of Electrical Engineering and Informatics, Faculty of Engineering, Universitas Negeri Malang, Jl. Semarang no. 5, Malang 65145, Indonesia.
Data in brief
|February 9, 2026
概括
这个数据集提供了来自杜尔加神话文本的21,395对问答. 它有助于人工智能理解文化遗产,并开发文化意识的应用程序.
科学领域:
- 数字人文学科 数字人文学科
- 计算语言学 计算语言学
- 文化遗产研究 文化遗产研究
背景情况:
- 文化文本,包括圣经和口头传统,包含有关像杜尔加这样的神话的丰富信息.
- 现有的数字资源往往缺乏结构化,可查询的数据,用于复杂的文化叙述.
- 将传统知识与计算方法相结合,对于现代研究和应用至关重要.
研究的目的:
- 策划和呈现一个全面的数据集的问题和答案对从杜尔加神话.
- 促进人工智能模型的开发,用于文化应用和遗产保护.
- 支持对文化文本应用自然语言处理 (NLP) 的研究.
主要方法:
- 由领域专家手动策划和注释文本材料.
- 来自诸如圣经和碑文等各种来源的21,395个问答对的集合.
- 预处理包括文本规范化,除重复和准确性验证.
主要成果:
- 一个由21,395个QA对组成的结构化数据集,与NLP任务兼容.
- 每个条目都包含源引用,问题和答案,以便进行详细分析.
- 数据集的格式使其易于集成到AI模型和数字人文项目中.
结论:
- 杜尔加神话QA数据集是人工智能驱动的文化应用的宝贵资源.
- 它可以创建文化意识的聊天机器人和教育工具.
- 本资源支持数字保存和文化遗产的计算研究.
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